一种低秩联合稀疏模型下的杂波抑制方法

doi:10.19665/j.issn1001-2400.2019.06.009

Abstract

Abstract:

The existing method for suppression of clutters of the through-the-wall radar system requires full size data, which may increase the complexity of the system. To this end, a wall clutter suppression method with the joint low-rank and sparse model is developed in this paper. In the proposed method, the task of separating wall clutters and target returns is transformed into a low-rank and sparse constrained optimization model requiring less data. To solve this optimization, the alternating direction method for multipliers is adopted. After clutter suppression, the return signals are used for the image formation. Experimental results demonstrate that the proposed method is significantly effective on clutter suppression in different scenes. Compared with the existing methods such as singular value decomposition and iterative soft thresholding, the proposed method has a higher target-to-clutter ratio in the radar imaging results.

Key words: through-wall-radar, clutter mitigation, low-rank, sparse reconstruction

CLC Number:

TN957.52

HUANG Chen,LIU Hongqing,LUO Zhen,ZHOU Yi. Method for suppressing clutters with the joint low-rank and sparse model[J].Journal of Xidian University, 2019, 46(6): 60-66.

Figures/Tables 8

References 19

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墙体材质	目标杂波比/dB
木材,ε_w=2.1	17.301
木材,ε_w=3.4	17.241
细砂砾,ε_w=3.7	17.217
混凝土,ε_w=5.3	17.043
混凝土,ε_w=6	16.981

墙体厚度/m	目标杂波比/dB
0.10	16.981
0.15	16.606
0.20	15.833
0.30	15.594
0.40	12.751
0.60	8.451

墙体结构	目标杂波比/dB
空心砖结构	16.359
钢筋混凝土结构	16.513
双层结构	16.672
三层结构	15.416

Method for suppressing clutters with the joint low-rank and sparse model

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References 19

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